Machine Learning for Downstream Oil & Gas Refineries: Applications for Solvent Deasphalting
This thesis seeks to provide continuous DAO yield estimations for an SDA unit by constructing modern machine learning models using data sets from a commercial downstream oil and gas refinery in the United States. These data sets include plant operating parameters and laboratory measurements for feed...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/140074 |